= This course was originally scheduled in April & May 2020. Because of the coronavirus it is re-scheduled to November. All participants of the April & May-edition have been informed by e-mail.
For a place on the waiting list, please sent an e-mail to info@rstrail.nl. =

Objectives
The objective of this course is to provide knowledge in machine learning models and techniques. Both fundamentals as well as practical applications are discussed.

After a successful completion of this course, students will be able to:

• Implement different machine learning models.
• Understand how data can be used to provide new insights into problems.
• Compare different techniques and algorithms in advanced machine learning,
• Understand how to choose a model to describe a particular type of data or problem.
• Evaluate machine learning models in practice.
• Understand the mathematics necessary for constructing novel machine learning solutions.
• Design and implement various machine learning algorithms in a range of real-world applications.

More detailed information on the course on the GP-OML website.

Lecturers: Prof. Inneke Van Nieuwenhuyse (Hasselt University) & Dr. Rui Jorge Almeida (Maastricht University)

Dates: 11 & 12, 18 & 19 November

Time: 10.00 – 16.00 h

Location: Utrecht, Boswell-Beta

Room: 1.20

ECTS: 1 (attendance only) – 4 (attendance & passing assignment)

Participation: free for TRAIL/Beta/OML members and PhD students of participating faculties

Registration: via the GP-OML website – click here

This course is part of the GP-OML program (www.GPOML.nl)